| Pierre Zweigenbaum and Natalia Grabar. Automatic acquisition of domain-specific morphological resources from thesauri. In Actes de RIAO 2000. |
....which is already pervasive enough in natural language processing systems. Another of our aims, besides, is to build language resources (lexicons, morphological knowledge bases, etc. for the medical domain (Zweigenbaum, 2001) and to learn linguistic knowledge from terminologies and corpora (Grabar and Zweigenbaum, 2000), including the MeSH. We would rather work, then, with linguistically sound data in the first place. We therefore endeavored to produce an accented version of the French MeSH. This thesaurus includes 19,971 terms and 9,151 synonyms, with 21,475 different word forms. Human reaccentuation of the ....
Natalia Grabar and Pierre Zweigenbaum. 2000. Automatic acquisition of domain-specific morphological resources from thesauri. In Proceedings of RIAO 2000: Content-Based Multimedia Information Access, pages 765--784, Paris, France, April. C.I.D.
....of the threshold) The word pairs identified include the three types of morphological variation (inflection, derivation and compounding) Additional linguistic knowledge may cancel the effect of inflection, so that only derivation and compounding remain. We have tested this in complementary work [23]. Precision was excellent for French and Russian on both word pairs and families, and was good for English. Whereas the rules learnt may be overgeneral, their application to couples of attested word forms is a powerful filter. The fact that the reference word list mostly contains domain specific ....
Zweigenbaum P and Grabar N. Automatic acquisition of domain-specific morphological resources from thesauri. In: CID , ed, Proceedings of RIAO
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Pierre Zweigenbaum and Natalia Grabar. Automatic acquisition of domain-specific morphological resources from thesauri. In Actes de RIAO 2000.
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